How large companies actually adopt AI: deployments, ROI debates, vendor battles and the gap between pilots and production.
624 articles
The role of the CIO is shifting from managing technical resources to embedding AI into the core value chain of enterprises. Technical scarcity is being replaced by the need for strategic AI integration.
钛媒体 · 124d ago
Neema Raphael, Chief Data Officer at Goldman Sachs, discusses the critical role of data engineering in building AI-ready business infrastructures. The conversation highlights how high-quality data pipelines are essential for successful AI deployment.
Bloomberg Technology · 124d ago
NEC President Takayuki Morita declared the arrival of the 'AI Industrial Revolution' and defined three key conditions for companies to emerge as winners. The strategy focuses on positioning NEC as a leader in this new era.
ITmedia AI+ (日本) · 130d ago
AI underperforms in enterprise systems due to fragmented, stale data lacking continuity, not model flaws. Poor data quality costs organizations $12.9M annually per Gartner, amplified by AI.
VentureBeat · 137d ago
Nvidia Global VP Hemant Dhulla and China team visited Hande's Shanghai Qingspu campus on April 29. They discussed enterprise AI trends, implementation paths with Hande Chairman Chen Diqing and AI team.
36氪 · 138d ago
Chinese enterprise AI companies are rushing to imitate Palantir's Ontology and FDE models, but the author warns this ignores Palantir's unique government client origins. Ontology erases industry best practices, making implementation costly and complex.
虎嗅 · 140d ago
Goldman Sachs staff in Hong Kong have lost access to Anthropic's Claude AI. Claude is an AI agent that accelerates software code writing.
Bloomberg Technology · 145d ago
In the AI era, successful companies evolve into half-machine, half-media entities that produce both products and narratives. OpenAI exemplifies this by scaling enterprise AI usage dramatically while shaping public perceptions.
虎嗅 · 146d ago
Zscaler CEO Jay Chaudhry states unprecedented demand for services amid cybersecurity risks from AI like Anthropic's Mythos. Enterprises struggle to protect against these threats.
Bloomberg Technology · 150d ago
AI is rapidly advancing in enterprises, shifting from experimentation to production use across functions like finance, supply chains, HR, and customer operations. A survey indicates that by end of 2025, half of companies will deploy AI in at least three business areas.
MIT Technology Review · 152d ago
A VentureBeat survey reveals 72% of enterprises claim multiple primary AI platforms, exposing security gaps and expanded attack surfaces. Mass General Brigham built a custom secure wrapper around Microsoft Copilot to prevent PHI leaks to OpenAI.
VentureBeat · 152d ago
Tech giants have endured documentation burdens for years. In the AI era, enterprises are pushed to 'go documentless'.
钛媒体 · 153d ago
Databricks SVP David Meyer states that state-of-the-art AI models excel at complex tasks like Olympiad maths but falter on basic enterprise duties. The advanced traits enabling their prowess create issues in everyday office work, such as identification tasks.
SCMP Technology · 155d ago
Enterprise AI's real fault line is ownership of the operating layer for applying and governing intelligence. Public focus remains on foundation models and benchmarks like GPT vs Gemini.
MIT Technology Review · 157d ago
企業需求與前沿AI間的鴻溝日益擴大，將開放權重模型推上舞台。Google、Microsoft、Alibaba及Nvidia等公司春季推出新一波模型。
The Register - AI/ML · 162d ago
IBM stock faces its worst year since 2002. Citigroup assigns a 'buy' rating regardless.
钛媒体 · 163d ago
Tokyo Gas is deploying an AI customer engagement platform with Braze and Databricks. It targets 13 million customers for personalized communications.
ITmedia AI+ (日本) · 171d ago
OpenClaw's current hype acts as an early market signal rather than a mature product. Embedding it in enterprise environments faces hurdles like security gaps, compliance issues, and high token costs.
钛媒体 · 174d ago
Osaka Gas is revolutionizing data utilization in the competitive energy sector by building an AI-driven data platform. They leverage generative AI as a 'capable subordinate' to enhance business agility and drive multi-faceted growth.
ITmedia AI+ (日本) · 174d ago
STADLER, a 230-year-old company, uses ChatGPT to reshape knowledge work across its 650 employees. The adoption saves time and accelerates productivity.
OpenAI News · 177d ago
Enterprise leaders prioritize governance, orchestration, and production-ready agentic systems over prototypes for measurable ROI. OutSystems' Agent Workbench enables coordinated multi-agent teams for tasks like CS triage at Thermo Fisher.
VentureBeat · 179d ago
VentureBeat opens applications for the Innovation Showcase at Transform 2026, seeking 10 autonomous agent technologies redefining enterprise AI. Focus areas include agentic orchestration, LLMOps, RAG infrastructure, inference optimization, and AI security.
VentureBeat · 181d ago
Enterprises face challenges deploying AI agents beyond demos due to fragmented data, integration issues, and undefined workflows. Creatio's methodology emphasizes data virtualization, agent dashboards with KPIs, and bounded use-case loops, achieving 80-90% autonomy in simpler cases.
VentureBeat · 181d ago
Company IT launched an internal 'Lobster' (Claude) AI tool, met with high interest, but it was quickly suspended due to a MIIT notice on data leak risks. Third-party alternatives like Tencent's QClaw are criticized as slow and limited, unable to summarize WeChat groups.
虎嗅 · 182d ago
The 2026 Singularity Intelligence Technology Conference has released its hardcore agenda, spotlighting OpenClaw and enterprise-level Agent deployment. The event is set to convene at Shanghai's Global Harbor Hyatt Hotel.
量子位 · 185d ago
This is Part II of AWS Generative AI Innovation Center's series on agentic AI in enterprises. It provides role-specific guidance for leaders like P&L owners, enterprise architects, security heads, data governors, and compliance managers.
AWS Machine Learning Blog · 188d ago
AI is projected to generate $4.4 trillion in annual value, yet enterprise applications face significant implementation challenges. Competition in enterprise AI revolves around system engineering capabilities, not just superior models.
钛媒体 · 189d ago
NTT Docomo uses AI to cut corporate sales data analysis time from 30 minutes to 5 minutes. The reform leverages over 100 million customer data records.
ITmedia AI+ (日本) · 189d ago
Context engineering is emerging as the next battleground for enterprise AI. Elastic’s Ken Exner argues that successful AI systems rely on data context, not just models.
iTNews Australia · 189d ago
Despite heavy investments, 95% of AI pilots fail production due to silver bullet chases, edge innovations, and poor integration. Success requires augmenting humans in core processes like sales, delivering results via closed-loop training.
虎嗅 · 190d ago